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Glama

Sight Status

sight_status

Check the plain-sight server status to view model info, device details, and whether the model is loaded. This reports state only; it does not trigger model loading.

Instructions

Check plain-sight server status.

Returns model info, device, and whether the model is currently loaded. The model loads lazily on first tool call — this tool does NOT trigger loading.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.1.0

TDQS

A3.9/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden and does disclose a genuinely useful behavior: the model loads lazily and this call deliberately avoids triggering that load. That is a real side-effect disclosure an agent needs. It stops short of stating whether the call has any other cost or failure modes.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three short sentences, front-loaded with the purpose and followed by return contents and the key caveat. No filler, every sentence carries information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so the description needn't restate return values, and the one non-obvious behavior (lazy loading, no load triggered) is covered. It could have pointed to sight_selftest as the follow-up, but nothing essential for correct invocation is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so there is nothing to document; baseline for a no-parameter tool is 4. The description correctly adds no parameter noise.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Check plain-sight server status') and enumerates what comes back (model info, device, load state). It distinguishes itself from the describe/read siblings by being a diagnostic call, though it doesn't explicitly contrast with sight_selftest.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The note that the tool does NOT trigger loading implicitly tells the agent when to prefer it (a non-invasive status check), but there is no explicit when-to-use statement nor a routing hint toward sight_selftest for deeper diagnostics. Usage is implied rather than stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.